{ "info": { "author": "Nicholas Ramkissoon", "author_email": "", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# ColorStats\n\nPython package for processing color data from images.\n\n### Installation\nInstall colorstats with:\n```commandline\npip3 install colorstats\n```\n\n### Overview\nColorStats allows users to process pixel data from images in order to \ndetermine various statistics/attributes of the color composition of images.\nIt also allows users to determine the similarity of a set of images \nusing these statistics.\n\n### Functionality/Features\n\n##### Single Image \n\n- generate the average shade of each general color (red, blue, etc. )\npresent in an image and their standard deviations\n- calculate average saturation and lightness\n- calculate the percentage color composition of the image\n\n\n##### Sets of Images\n\n- calculate average and standard deviation of saturation and lightness across all images\n- calculate similarity based on:\n 1. average shades of colors\n 2. percentage color composition\n 3. average saturation and lightness\n 4. weighted some of the above values\n\n\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/nramkissoon/ColorStats", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "colorstats", "package_url": "https://pypi.org/project/colorstats/", "platform": "", "project_url": "https://pypi.org/project/colorstats/", "project_urls": { "Homepage": "https://github.com/nramkissoon/ColorStats" }, "release_url": "https://pypi.org/project/colorstats/1.2.0/", "requires_dist": null, "requires_python": ">=3", "summary": "Package for processing color data from images", "version": "1.2.0" }, "last_serial": 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